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Amazon Business Analyst 
United States, Washington, Bellevue 
781143883

14.08.2024
DESCRIPTION


The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
- Generating complex queries to dive deep on process issues

BASIC QUALIFICATIONS

- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree in supply chain management, operations, engineering, analytics or related field
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
- 2+ years of business or financial analysis experience
- Experience building and maintaining automated forecasting models, utilizing regression or statistical methodologies.


PREFERRED QUALIFICATIONS

- 2+ years of experience as a Business Analyst, Data Analyst, Engineer, or another related occupation
- Experience in Operations, Supply Chain, or Logistics
- Understanding of data warehousing and data modeling
- Fluency in a modeling language such as Python or R
- Experience with one or more of the statistical modeling languages/toolboxes